Inhalt

[ 536DASCDSPU19 ] UE Digital Signal Processing

Versionsauswahl
Workload Education level Study areas Responsible person Hours per week Coordinating university
1,5 ECTS B3 - Bachelor's programme 3. year (*)Artificial Intelligence Mario Huemer 1 hpw Johannes Kepler University Linz
Detailed information
Original study plan Bachelor's programme Artificial Intelligence 2025W
Learning Outcomes
Competences
See correspondent lecture.
Skills Knowledge
See correspondent lecture. See correspondent lecture.
Criteria for evaluation Homework to be uploaded and evaluated.
Methods
  • Demonstration of examples
  • Matlab examples
  • Homework
Language English
Study material
  • Lecture Slides
  • Alan V. Oppenheim, Ronald W. Schafer, Discrete-Time Signal Processing: Pearson New International Edition, Pearson Education Limited 2014.
Changing subject? No
Further information This exercise course and the corresponding lecture form an inseparable didactic unit. The presented learning outcomes are achieved through the interaction of the lecture and the exercise course.
Corresponding lecture 521HARDDSVU13: UE Digitale Signalverarbeitung (1,5 ECTS)
On-site course
Maximum number of participants 35
Assignment procedure Direct assignment